---
product_id: 556175040
title: "seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers"
brand: "seeed studio"
price: "€ 278.24"
currency: EUR
in_stock: true
reviews_count: 6
category: "Seeed Studio"
url: https://www.desertcart.at/products/556175040-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi
store_origin: AT
region: Austria
---

# 4 TOPS ultra-fast ML ops Cross-platform Debian/macOS/Win USB 3.0 Type-C plug & play seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers

**Brand:** seeed studio
**Price:** € 278.24
**Availability:** ✅ In Stock

## Summary

> 🚀 Turbocharge your AI edge with Coral USB Accelerator — speed, simplicity, and smarts in your pocket!

## Quick Answers

- **What is this?** seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers by seeed studio
- **How much does it cost?** € 278.24 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/556175040-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi)

## Best For

- seeed studio enthusiasts

## Why This Product

- Trusted seeed studio brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **TensorFlow Lite Ready:** Run pre-built or custom AutoML Vision Edge models instantly—no model-building hassle required.
- • **Blazing Fast Edge TPU Power:** Performs 4 trillion operations per second with just 2 watts—effortless speed meets energy efficiency.
- • **Plug & Play USB 3.0 Connectivity:** Seamlessly integrates with Raspberry Pi, Windows, macOS, and Debian Linux systems via USB Type-C.
- • **Privacy-First On-Device Inference:** Eliminate cloud latency and data exposure by processing ML locally at blazing speeds.
- • **Future-Proof Google Cloud Compatibility:** Easily scale and deploy your ML workflows with seamless Google Cloud integration.

## Overview

The Seeed Studio Coral USB Accelerator is a compact, energy-efficient Edge TPU coprocessor delivering 4 TOPS of machine learning inference power at just 2 watts. Compatible with major platforms including Raspberry Pi, Windows 10, macOS, and Debian Linux, it connects via USB 3.0 Type-C for instant plug-and-play acceleration of TensorFlow Lite models. Ideal for professionals seeking ultra-fast, privacy-conscious on-device AI processing with easy deployment of custom AutoML Vision Edge models and Google Cloud compatibility.

## Description

The integrated Edge TPU is a small Google-designed ASIC that speeds up TensorFlow Lite models in an energy-efficient manner: it is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power, that's 2 TOPS per watt. For example, an Edge TPU can run next-generation mobile viewing models, such as MobileNet v2 at nearly 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and eliminates the need for a constant internet connection. The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferences across a wide range of systems, simply by plugging it into a USB port. Performs high-speed ML inferences The integrated Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, you can run next-generation mobile vision models, such as MobileNet v2 at nearly 400 FPS, in an energy-efficient manner. See more performance benchmarks. Compatible with all major platforms Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS or Windows 10. Supports TensorFlow Lite. No need to build models from scratch. TensorFlow Lite models can be compiled to run on Edge TPU.

Review: Perfect for frigate - Hard to get one now, works perfectly with proxmox inside lxc running frigate.
Review: Ninguna de las dos unidades que he comprado funcionan - Dos unidades he pedido, las dos vienen muertas, ni se enciende el led al conectarlo al usb ni lo reconoce ninguno de los 3 pcs en los que he probado, tanto windows como Linux. No se cual es el problema porque ambos venian precintados pero no funcionan. Devueltos.

## Features

- Performs high-speed ML inferences: high-speed TensorFlow Lite inference with low power, small footprint, local inferences
- Supports all major platforms - Connects via USB 3.0 Type-C to any system running Debian Linux (including Raspberry Pi), macOS or Windows 10
- Supports TensorFlow Lite: No need to build models from scratch. Tensorflow Lite models can be compiled to run on TPE edge
- Supports AutoML Vision Edge - Easily create and deploy fast, high-precision custom image classification models at the edge.
- Compatible with Google Cloud

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0CDGT75SH |
| Best Sellers Rank | 45,631 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 1,339 in Motherboards |
| Box Contents | / |
| Brand | seeed studio |
| Brand Name | seeed studio |
| CPU Model | Core i7 |
| CPU model | Core i7 |
| CPU speed | 4 GHz |
| Compatible Devices | Raspberry Pi, Intel Celeron J4125 powered X86 Windows/Linux mini PC, Linux systems, Windows 10, MacOS |
| Connectivity technology | USB 3.0 |
| Customer Reviews | 4.0 out of 5 stars 203 Reviews |
| Item Dimensions L x W x H | 13.9L x 10.1W x 3.3H centimetres |
| Manufacturer | seeed studio |
| Manufacturer Part Number | 114991790-FA |
| Memory Storage Capacity | 16 KB |
| Memory storage capacity | 16 KB |
| Model Name | Coral USB Accelerator |
| Model Number | 114991790-FA |
| Model name | Coral USB Accelerator |
| Network Connectivity Technology | USB 3.0 |
| Operating System | Debian Linux, macOS, Windows 10 |
| Processor Brand | ARM |
| Processor Count | 1 |
| Processor Speed | 4 GHz |
| RAM Memory Technology | DDR4 |
| Smart Home Compatibility | Not Smart Home Compatible |
| Total USB Ports | 1 |
| Unit Count | 1.0 count |

## Product Details

- **Brand:** seeed studio
- **CPU model:** Core i7
- **CPU speed:** 4 GHz
- **Memory storage capacity:** 16 KB
- **Model name:** Coral USB Accelerator

## Images

![seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers - Image 1](https://m.media-amazon.com/images/I/41ahuMC2x2L.jpg)
![seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers - Image 2](https://m.media-amazon.com/images/I/51JF1JMOR5L.jpg)
![seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers - Image 3](https://m.media-amazon.com/images/I/51W1nAX11GL.jpg)
![seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers - Image 4](https://m.media-amazon.com/images/I/51HBdC7gN2L.jpg)
![seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers - Image 5](https://m.media-amazon.com/images/I/51HNfNjUFHL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Perfect for frigate
*by M***L on 29 July 2025*

Hard to get one now, works perfectly with proxmox inside lxc running frigate.

### ⭐ Ninguna de las dos unidades que he comprado funcionan
*by R***K on 7 May 2025*

Dos unidades he pedido, las dos vienen muertas, ni se enciende el led al conectarlo al usb ni lo reconoce ninguno de los 3 pcs en los que he probado, tanto windows como Linux. No se cual es el problema porque ambos venian precintados pero no funcionan. Devueltos.

### ⭐⭐⭐⭐⭐ Muito portátil e eficaz.
*by M***A on 14 July 2025*

Produto excelente. Usando o Frigate em meu MiniPC i5, antes do Coral ficava com 85% de consumo de CPU. Com o Coral, caiu para 25~30% de consumo. Recomendo bastante aos que usam Frigate.

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*Product available on Desertcart Austria*
*Store origin: AT*
*Last updated: 2026-07-11*